Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/21430

TitleConditional transition probabilities in a non-Markov illness-death model
Author(s)Machado, Luís Meira
Uña Álvarez, Jacobo de
Datta, Somnath
KeywordsTransition probabilities
Multi-state model
Conditional survival
Dependent censoring
Illness-death model
Kaplan-Meier
Issue date2012
PublisherUniversidade de Vigo
Abstract(s)One important goal in multi-state modeling is the estimation of transition probabilities. In longitudinal medical studies these quantities are particularly of interest since they allow for long-term predictions of the process. In recent years significant contributions have been made regarding this topic. However, most of the approaches assume independent censoring and do not account for the influence of covariates. This paper introduces feasible estimation methods for the transition probabilities in an illness-death model conditionally on current or past covariate measures. These approaches are evaluated through a simulation study, comparing two different estimators. The proposed methods are illustrated using real data.
TypeReport
URIhttp://hdl.handle.net/1822/21430
ISSN1888-5756
Publisher versionhttp://webs.uvigo.es/depc05/reports/12_05.pdf
Peer-Reviewedno
AccessRestricted access (UMinho)
Appears in Collections:CMAT - Outros trabalhos de investigação / Other research works

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